China Wholesale Manufacturers, Suppliers, Factory

The 24th China International Optoelectronics Expo will be held at the Shenzhen International Convention and Exhibition Center from September 6 to 8, 2023.

On New Year’s Day 2026, the team from Shanghai Silk Optical Technology Co., Ltd. journeyed to the revolutionary heartland of Jinggangshan. On this historic soil, they embarked on a journey designed for both spiritual enrichment and team cohesion. Centered on the "Jinggangshan Spirit," the event served as a bridge to strengthen unity, tempering the corporate spirit through a look back at history and injecting powerful momentum into the company’s mission for the coming year.

Let’s be honest: nobody likes reviewing security footage that looks like a 1920s silent movie shot in a blizzard. For years, the industry standard for low-light surveillance was Infrared (IR) lighting. It illuminated the dark, but it stripped away all the color, leaving you with grainy, black-and-white images where a red getaway car looks exactly like a blue one. Today, the market demands "full-color night vision." But achieving this without blasting a blinding white LED spotlight into the street requires a specific hardware upgrade. It’s not just about a better software algorithm; it’s about physics. To achieve true, noise-free color footage in near-darkness, your camera needs an F1.0 large aperture lens. Here is a deep dive into why F1.0 is the absolute threshold for modern security cameras, and why the materials inside that lens matter just as much as the numbers on the outside.

In the medical field, endoscopic lenses are hailed as the "second pair of eyes" for physicians. They not only reveal lesions invisible to X-rays but also magnify the microscopic world inside the human body to astonishing detail.

A distortionless lens is designed to eliminate or significantly reduce image distortion, ensuring precise and reliable visual representation. This article explores how distortionless lenses work, their advantages, and how they solve common challenges faced by industries such as machine vision, medical imaging, and precision inspection. By understanding their structure, features, and selection criteria, users can make informed decisions to enhance imaging quality and operational efficiency.